Systematic and scalable scenario generation

Automated driving functions need to react correctly, even in rare or safety-critical situations. Virtual test driving creates a strong foundation for this: Critical scenarios can be derived in a targeted way, varied systematically, and tested reproducibly. The priority here is not the number of tests, but their relevance with regard to functional safety and system behavior. This methodological approach increases validation depth, improves traceability in results, and supports a sound evaluation.

Basis for virtual validation

Functional requirements, operational design domains (ODDs), and use cases are at the core of virtual validation. Specific driving scenarios, that model the system behavior in a realistic and traceable way, are created based on them. Tests can be performed automatically, repeated with precision, and evaluated in a targeted manner.

A single basic scenario is rarely enough to cover all relevant cases. Minor changes in speed, vehicle dynamics, or road users can already have a major impact on the behavior. Automated parameter variation enables the systematic generation of test variants. In this way, a comprehensive and traceable validation is possible.

Recordings from real driving operation ensure the practical relevance of test cases. They create the basis to reconstruct scenarios in a precise and representative way and thus help to increase the validity of test results significantly.

Targeted validation does not depend on the number of performed tests, but on their validity: Scenarios that show functional boundaries and specifically address safety-critical aspects are decisive. In this way, valid results are generated efficiently, traceably, focusing on the identification of relevant weaknesses.

By applying established standards such as OpenSCENARIO and OpenDRIVE, seamless integration into different toolchains and development processes can be achieved. This creates a basis for consistent and scalable validation of complex driving functions.

Use cases

Systematic testing of the functional robustness of assistance systems under critical environmental conditions

Assistance systems must also function reliably in fog, at night or in unclear traffic routing situations. With freely configurable scenarios, specific critical environmental conditions can be combined, and weak points can be detected at an early stage. This approach provides a systematic test of functional robustness – a key element on the way to series maturity.

Realistic scenarios for validating modern driver assistance systems

Scenarios for validating assistance systems are based on the analysis of real-life traffic patterns, which are translated into realistic driving situations, and can then be used for testing and validation. This approach creates a flexible and reusable basis that meets the requirements of modern assistance systems, even in complex environments.

Systematically validating complex SAE Level 3+ driving functions

Scenarios for SAE Level 3+ driving functions systematically cover complex traffic situations, such as bottlenecks due to construction work or lane changes in heavy traffic. Generating scenarios on the basis of functional requirements enables the reproducible and targeted validation of automated systems in a reliable, scalable and standard-compliant manner.

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